Risk Management

Quantitative Analytics Analyst

£55k - £65k per annum

Milton Keynes, Buckinghamshire

Duration:
12 Months
Expiry date:
2023-06-21
Start date:
ASAP
Job type:
Contract
Job ID:
QAM1

About the role:

Responsibilities:

  • Leading projects to develop risk models – supporting the business in lending to customers
  • Managing and developing team members
  • Communicating with the local business units to understand business requirements, ensuring that models and model management deliver on these
  • Producing project plans and reviewing the progress of work produced by the project team, taking mitigating action where necessary
  • Providing clear documentation of the model development to support model approval and implementation
  • Ensuring that outputs are of sufficient robustness to withstand independent scrutiny and questions from external regulators

Skills desired:

  • Experience of building or using statistical models in business environments – and be able to demonstrate an in depth understanding of their use
  • Track record of successful delivery in a statistical analysis role of similar complexity and level, preferably within a credit risk function
  • High degree of mathematical literacy, with a 2:1 degree or equivalent in a numerate discipline
    (for example Maths, Statistics, Sciences, Engineering or Operational Research)
  • Strong SAS programming skills
  • Excellent communication skills with the ability to engage and influence key stakeholders

If interested, please apply below. Alternatively, email chris.norton@goodmanmasson.com

In our company values we aim for equity at all stages of the recruitment process, please let us know if we can do anything to make the process more accessible to you.

Duration:
12 Months
Expiry date:
2023-06-21
Start date:
ASAP
Job Type:
Contract
Job ID:
QAM1

Sounds good?

Does this role sound like the right for for you? Apply using the form and one of the Goodman Masson team members will get back to you as soon as possible. Good luck!

Apply for the role


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